There are many open questions for marketers who want to implement AI-driven ad tech – and for customers considering the new AI-powered Oral-B. What does it even mean when a vendor touts its AI capabilities?
With its RMN, Rippl, Cardlytics-owned Bridg aims to reduce fragmentation in the RMN space by consolidating listings by retailers that might otherwise be tempted to set up their own RMNs.
Integral Ad Science (IAS) beat its earnings and revenue estimates for the second quarter despite belt-tightening among advertisers and fallout from the recent TrueView scandal.
It’s up to technology and media companies to decide whether AI will be an atomic bomb that annihilates countless jobs or if it will power the workforce’s next leap in productivity.
If we set ChatGPT aside, AI has the potential to transform how marketing and ad tech handles data transfer between platforms.
The term “machine learning” seems to have a magical effect as a sales buzzword. Couple that with the term “data science,” and lots of companies think they have a winning formula for attracting new clients. But there is a need for best practices in data science and for companies to invest in and fully support talent that can apply those principles effectively, writes Jasmine Jia, associate director of data science at Blockthrough.
“Data-Driven Thinking” is written by members of the media community and contains fresh ideas on the digital revolution in media. Today’s column is by Sarah Rose, SVP International Digital Operations, Data & Platform Ops at IPG’s Kinesso. Artificial intelligence is a heavy and complex topic with tons of deep ethical complications, confusing applications and unknown […]
